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Developed models for the identification of fraud are commonly contained in a variety of previous studies; Financial statement fraud is a serious problem that harms businesses and investors. Nearly all of these models based on the study of financial ratios for the discovery of fraud.

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This study aims to examine how financial analysts detect fraudulent activities through financial statement analysis.

Following a bibliometric analysis, we identified the leading researchers, publications, sources, countries, and collaboration patterns in financial statement fraud detection.

This study aims to test and analyze the detection of fraudulent financial statement indicators using elements from the fraud hexagon theory. After reviewing 30 research papers, we. This research is conducted in the form of a case study to investigate whether the previously identified financial statement fraud red flags apply to company x. The research employs quantitative methods and.

Design/methodology/approach this study analyses a financial statement fraud case, using the same techniques that were previously applied, including horizontal, vertical and ratio. This article examines the methods used to commit financial reporting fraud, the red flags and detection techniques employed by auditors and regulators, and global case. The objective of current study is to examine the association between financial statement analysis and fraudulent financial reporting.